Molecular structures rendered in a dark laboratory

Science

One Molecule. Multiple Neural Pathways.

General Biotech combines molecular engineering, computational pharmacology, receptor modeling and neurological research to investigate compounds capable of interacting with interconnected signaling systems.

Disciplines

A single design loop across four disciplines

01

Molecular Engineering

Scaffold design and iterative structural refinement aimed at balancing affinity, selectivity and physicochemical behavior across several receptor families at once.

02

Computational Pharmacology

In-silico docking, free-energy estimation and off-target prediction used to prioritize candidates before any wet-lab commitment.

03

Receptor Modeling

Structure-based modeling of muscarinic, dopaminergic, serotonergic and adrenergic binding pockets, including conformational and allosteric states.

04

Neurological Research

Translation of molecular predictions into testable hypotheses about synaptic transmission, network activity and cognitive endpoints.

Signaling Systems

The systems we design against

  1. Cholinergic

    Acetylcholine signaling through muscarinic and nicotinic receptors — central to attention, memory encoding and cortical arousal.

  2. Dopaminergic

    D1–D5 receptor families governing motivation, motor control and reward prediction; a key selectivity boundary for any multimodal compound.

  3. Serotonergic

    5-HT receptor subtypes, particularly 5-HT1A, involved in mood regulation, neuroplasticity and modulation of cholinergic tone.

  4. Synaptic Biology

    Vesicular release, enzymatic turnover, transporter reuptake and receptor trafficking — the machinery a neuromodulator ultimately acts upon.

Method

Why multimodal, not single-target

Neurological function is not produced by isolated receptors. Cognition emerges from cholinergic tone interacting with dopaminergic and serotonergic modulation, shaped by enzymatic turnover at the synapse.

A compound engineered against one target may be pharmacologically clean and biologically insufficient. Our approach treats the interaction profile itself as the design object — selecting for a deliberate combination of activities rather than the absence of them.

See it applied in GB-101